Summary of Multi-attribute Constraint Satisfaction Via Language Model Rewriting, by Ashutosh Baheti et al.
Multi-Attribute Constraint Satisfaction via Language Model Rewritingby Ashutosh Baheti, Debanjana Chakraborty, Faeze Brahman, Ronan Le…
Summary of Enhancing Nighttime Vehicle Detection with Day-to-night Style Transfer and Labeling-free Augmentation, by Yunxiang Yang et al.
Enhancing Nighttime Vehicle Detection with Day-to-Night Style Transfer and Labeling-Free Augmentationby Yunxiang Yang, Hao Zhen,…
Summary of D-lord For Motion Stylization, by Meenakshi Gupta et al.
D-LORD for Motion Stylizationby Meenakshi Gupta, Mingyuan Lei, Tat-Jen Cham, Hwee Kuan LeeFirst submitted to…
Summary of Moyun: a Diffusion-based Model For Style-specific Chinese Calligraphy Generation, by Kaiyuan Liu et al.
Moyun: A Diffusion-Based Model for Style-Specific Chinese Calligraphy Generationby Kaiyuan Liu, Jiahao Mei, Hengyu Zhang,…
Summary of Jiehua Paintings Style Feature Extracting Model Using Stable Diffusion with Controlnet, by Yujia Gu et al.
JieHua Paintings Style Feature Extracting Model using Stable Diffusion with ControlNetby Yujia Gu, Haofeng Li,…
Summary of Spectralgaussians: Semantic, Spectral 3d Gaussian Splatting For Multi-spectral Scene Representation, Visualization and Analysis, by Saptarshi Neil Sinha and Holger Graf and Michael Weinmann
SpectralGaussians: Semantic, spectral 3D Gaussian splatting for multi-spectral scene representation, visualization and analysisby Saptarshi Neil…
Summary of D2styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methods, by Onkar Susladkar et al.
D2Styler: Advancing Arbitrary Style Transfer with Discrete Diffusion Methodsby Onkar Susladkar, Gayatri Deshmukh, Sparsh Mittal,…
Summary of St-saclf: Style Transfer Informed Self-attention Classifier For Bias-aware Painting Classification, by Mridula Vijendran et al.
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classificationby Mridula Vijendran, Frederick W. B.…
Summary of Mumu: Bootstrapping Multimodal Image Generation From Text-to-image Data, by William Berman et al.
MUMU: Bootstrapping Multimodal Image Generation from Text-to-Image Databy William Berman, Alexander PeysakhovichFirst submitted to arxiv…
Summary of Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion For Zero-shot Motion Transfer, by Sigal Raab et al.
Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion Transferby Sigal Raab,…